CN116016875A - Intelligent monitoring system based on video acquisition - Google Patents
Intelligent monitoring system based on video acquisition Download PDFInfo
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Abstract
The invention discloses an intelligent monitoring system based on video acquisition, which comprises an environment information acquisition module, an image equipment acquisition module, a monitoring information acquisition module, a data receiving module, a data processing module, a master control module and an information sending module; the environment acquisition module is used for acquiring environment information of a monitoring position, the image acquisition module comprises first acquisition equipment, second acquisition equipment and third acquisition equipment, the first acquisition equipment is arranged at an entrance of a district garage and is used for acquiring first image information, the second acquisition equipment is arranged around a road in the district and is used for acquiring second image information, and the third acquisition equipment is arranged in an elevator of a building of the district and is used for acquiring third image information; the image equipment acquisition module is used for acquiring monitoring equipment information. The invention can more intelligently carry out safety monitoring and ensure the safety of the monitoring position.
Description
Technical Field
The invention relates to the field of monitoring systems, in particular to an intelligent monitoring system based on video acquisition.
Background
The monitoring system is also called a typical monitoring system of a closed-circuit television monitoring system and mainly comprises five parts, namely front-end audio and video acquisition equipment, audio and video transmission equipment and rear-end storage, control and display equipment, wherein the rear-end equipment can be further divided into central control equipment and sub-control equipment. The front-end equipment and the back-end equipment have various construction modes, and the connection between the front-end equipment and the back-end equipment (also called a transmission system) can be realized through various modes such as coaxial cables, twisted pair wires, optical fibers, microwaves, wireless and the like;
the application range of the monitoring system is wide, and the monitoring system can be used when communities, communities and the like are subjected to safety protection.
The existing monitoring system is poor in safety protection effect, cannot meet actual use demands of users, is single in function, and brings a certain influence to the use of the monitoring system, so that the intelligent monitoring system based on video acquisition is provided.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: how to solve the existing monitoring system, the safety protection effect is poor, the actual use requirement of a user cannot be met, the function is single, the problem that a certain influence is brought to the use of the monitoring system is solved, and the intelligent monitoring system based on video acquisition is provided.
The invention solves the technical problems through the following technical scheme that the system comprises an environment information acquisition module, an image equipment acquisition module, a monitoring information acquisition module, a data receiving module, a data processing module, a master control module and an information sending module;
the environment acquisition module is used for acquiring environment information of a monitoring position, the image acquisition module comprises first acquisition equipment, second acquisition equipment and third acquisition equipment, the first acquisition equipment is arranged at an entrance of a district garage and is used for acquiring first image information, the second acquisition equipment is arranged around a road in the district and is used for acquiring second image information, and the third acquisition equipment is arranged in an elevator of a building of the district and is used for acquiring third image information;
the image equipment acquisition module is used for acquiring monitoring equipment information, wherein the monitoring equipment information comprises monitoring equipment quantity information and coverage area information of each monitoring equipment;
the monitoring information acquisition module is used for acquiring the protection area information of the monitoring position;
the data receiving module is used for receiving the environment information, the first image information, the second image information, the third image information, the monitoring equipment information and the protection area information of the monitoring position, recording the information by the data receiving module and then sending the information to the data processing module;
the data processing module is used for processing the environmental information of the monitoring position to generate security mode determining information, processing the first image to generate vehicle warning information, processing the second image information to generate road warning information, processing the third image information to generate building warning information, and generating monitoring equipment management and control information for the monitoring equipment information and the protection area information;
after the security mode determining information, the vehicle warning information, the road warning information, the building warning information and the monitoring equipment management and control information are generated, the master control module controls the information sending module to send the security mode determining information, the vehicle warning information, the road warning information, the building warning information and the monitoring equipment management and control information to the preset receiving terminal.
Further, the security mode determining information comprises an energy-saving monitoring mode and a normal monitoring mode;
the specific processing procedure of the security mode determination information is as follows: the method comprises the steps of extracting the collected environment information of the monitoring position, wherein the environment information of the monitoring position comprises environment temperature information and weather information, when the environment temperature information is smaller than a preset value, and the weather information is rainfall or snowfall, the energy-saving monitoring mode is generated when the rainfall or the snowfall is larger than the preset value, and when the environment temperature is larger than the preset value, the energy-saving monitoring mode is also generated, and the normal monitoring mode is operated except the above states.
Further, the specific processing procedure of the vehicle warning information is as follows:
step one: extracting collected first image information, wherein the first image information comprises license plate image information, roof image information and image information in front of a vehicle of the vehicle entering a preset position;
step two: processing license plate image information of a vehicle to identify the license plate information, importing the license plate information into a database for comparison, and processing roof image information and image information right in front of the vehicle to obtain real-time vehicle parameter information after the license plate is compared;
step three: and the real-time vehicle parameter information is imported into a database to be compared with preset vehicle parameters corresponding to license plate information in the database, the comparison is carried out through a control barrier gate, and the vehicle warning information is generated after the comparison fails.
Further, the specific processing procedure of the real-time vehicle parameter information is as follows: extracting acquired roof image information and vehicle front image information, processing the roof image information to acquire the width M1 and the length M2 of the vehicle in the roof image information, processing the vehicle front image information to acquire the width M3 and the height M4 of the vehicle in the vehicle front image information, and acquiring real-time vehicle parameters through a formula (M1 x M2)/(M3 x M4) =Mm;
the vehicle parameter comparison process is as follows: the method comprises the steps of extracting collected real-time vehicle parameter information, marking the collected real-time vehicle parameter information as Q1, extracting preset vehicle parameter information corresponding to license plate information in a database, marking the preset vehicle parameter information as Q2, calculating a parameter difference Qq through formulas Q1-Q2 = Qq, and when the absolute value of the parameter difference Qq is larger than a preset value, namely comparison is not passed, and when the absolute value of the parameter difference Qq is smaller than the preset value, namely comparison is passed.
Further, the specific processing procedure of the road warning information is as follows: the method comprises the steps of extracting collected second image information, setting a preset mark in a safety monitoring area of equipment on a road of second image equipment, processing the second image information, obtaining preset mark area information, marking the preset mark area information as K1, extracting standard preset mark area information, marking the standard preset mark area information as K2, calculating a difference value between the standard preset mark area information K2 and the preset mark area information K1, obtaining area difference Kk, and generating road warning information when the area difference is smaller than a preset value.
Further, the specific processing process of the building warning information is as follows: when face image information appears in the third image information, processing the face image information to obtain real-time face characteristic parameter information, comparing the real-time face characteristic parameter information with preset parameter information of households in the building, recording time length information of the real-time face parameter information appearing in the third image information when comparison fails, and generating building warning information when the time length information is longer than a preset value time length.
The method is further characterized in that the specific processing process of the real-time face characteristic parameter information is as follows: the method comprises the steps of extracting collected face image information, marking two outer corners in the face image information as a point A1 and a point A2 respectively, marking two inner corners as a point A3 and a point A4 respectively, wherein the point A1 and the point A3 are on the same side, the point A2 and the point A4 are on the same side, connecting the point A1 with the point A4 to obtain a line segment L1, connecting the point A2 with the point A3 to obtain a line segment L2, measuring the lengths of the line segment L1 and the line segment L2, and calculating the sum of the lengths of the line segment L1 and the line segment L2 to obtain real-time human characteristic parameters.
The monitoring equipment management and control information comprises monitoring increasing information and monitoring decreasing information, and the specific processing process of the monitoring equipment management and control information is as follows: the method comprises the steps of extracting collected monitoring equipment information and protection area information, obtaining monitoring equipment quantity information and coverage area information of each monitoring equipment from the monitoring equipment information, marking the monitoring equipment quantity information as d, marking the coverage area information of each monitoring equipment as Y, obtaining a monitoring total coverage area Yy through a formula of Y1+Y2+Y … … Yd=yy, calculating a difference value between the monitoring total coverage area Yy and the protection area information, obtaining an area difference, generating monitoring reduction information when the area difference is larger than a preset value, and generating monitoring increase information when the area difference is smaller than the preset value.
Compared with the prior art, the invention has the following advantages: according to the intelligent monitoring system based on video acquisition, the operation or stop of the corresponding monitoring equipment is intelligently controlled according to the change of the environment state, the operation time of part of the monitoring equipment is reduced, the service life of the monitoring equipment is prolonged, the maintenance cost is reduced, meanwhile, the vehicles entering the community are subjected to refined analysis and treatment, when the abnormal condition of the vehicles is found, warning information is timely sent out, the situation that fake-licensed vehicles enter the community is effectively avoided, community safety is guaranteed, meanwhile, whether the road in the community is abnormally blocked is monitored in real time, when the abnormal blockage of the road is found, the warning information is timely sent out, so that accidents caused by the blockage of the road are reduced, meanwhile, personnel entering the building are monitored, when the personnel in the non-self building stay for a long time, the warning information is sent out, the personnel are warned, so that the safety of the building is guaranteed, the community is more comprehensively protected, the community safety is guaranteed, and the system is more worth popularizing and using.
Drawings
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following describes in detail the examples of the present invention, which are implemented on the premise of the technical solution of the present invention, and detailed embodiments and specific operation procedures are given, but the scope of protection of the present invention is not limited to the following examples.
As shown in fig. 1, this embodiment provides a technical solution: an intelligent monitoring system based on video acquisition comprises an environmental information acquisition module, an image equipment acquisition module, a monitoring information acquisition module, a data receiving module, a data processing module, a master control module and an information sending module;
the environment acquisition module is used for acquiring environment information of a monitoring position, the image acquisition module comprises first acquisition equipment, second acquisition equipment and third acquisition equipment, the first acquisition equipment is arranged at an entrance of a district garage and is used for acquiring first image information, the second acquisition equipment is arranged around a road in the district and is used for acquiring second image information, and the third acquisition equipment is arranged in an elevator of a building of the district and is used for acquiring third image information;
the image equipment acquisition module is used for acquiring monitoring equipment information, wherein the monitoring equipment information comprises monitoring equipment quantity information and coverage area information of each monitoring equipment;
the monitoring information acquisition module is used for acquiring the protection area information of the monitoring position;
the data receiving module is used for receiving the environment information, the first image information, the second image information, the third image information, the monitoring equipment information and the protection area information of the monitoring position, recording the information by the data receiving module and then sending the information to the data processing module;
the data processing module is used for processing the environmental information of the monitoring position to generate security mode determining information, processing the first image to generate vehicle warning information, processing the second image information to generate road warning information, processing the third image information to generate building warning information, and generating monitoring equipment management and control information for the monitoring equipment information and the protection area information;
after the security mode determining information, the vehicle warning information, the road warning information, the building warning information and the monitoring equipment management and control information are generated, the master control module controls the information sending module to send the security mode determining information, the vehicle warning information, the road warning information, the building warning information and the monitoring equipment management and control information to a preset receiving terminal;
the invention intelligently controls the operation or stop of the corresponding monitoring equipment according to the change of the environment state, reduces the operation time of part of the monitoring equipment, prolongs the service life of the monitoring equipment, reduces the maintenance cost, and simultaneously carries out refined analysis treatment on vehicles entering the cell, when the abnormal condition of the vehicles is found, the warning information is timely sent out, the situation that the fake-licensed vehicles enter the cell is effectively avoided, the community safety is ensured, meanwhile, whether the road in the cell is abnormally blocked is monitored in real time, when the abnormal blockage of the road is found, the warning information is timely sent out, so that the accident caused by the blockage of the road is reduced, meanwhile, the invention monitors personnel entering the building, and when the long-time stay of the personnel without the building is found, namely the warning information is sent out to warn the manager, so that the safety of the building is ensured, the system more comprehensively carries out the safety protection of the community, and the community safety is ensured.
The security mode determining information comprises an energy-saving monitoring mode and a normal monitoring mode;
the specific processing procedure of the security mode determination information is as follows: extracting the collected environmental information of the monitoring position, wherein the environmental information of the monitoring position comprises environmental temperature information and weather information, when the environmental temperature information is smaller than a preset value and the weather information is rainfall or snowfall, the energy-saving monitoring mode is generated, and when the environmental temperature is larger than the preset value, the energy-saving monitoring mode is also generated, and the normal monitoring mode is operated except the above states;
through the process, the monitoring mode can be intelligently adjusted according to the environment state, and when accidents are not easy to happen, the operation time of part of monitoring equipment is reduced, so that the service life of the monitoring equipment is prolonged, and the maintenance cost is reduced.
The specific processing process of the vehicle warning information is as follows:
step one: extracting collected first image information, wherein the first image information comprises license plate image information, roof image information and image information in front of a vehicle of the vehicle entering a preset position;
step two: processing license plate image information of a vehicle to identify the license plate information, importing the license plate information into a database for comparison, and processing roof image information and image information right in front of the vehicle to obtain real-time vehicle parameter information after the license plate is compared;
step three: the real-time vehicle parameter information is imported into a database to be compared with preset vehicle parameters corresponding to license plate information in the database, the comparison is carried out through a control barrier gate, and vehicle warning information is generated when the comparison fails;
through the process, the vehicles entering the community can be monitored, whether the vehicles are fake-licensed vehicles or not is known, and therefore the safety of the community is guaranteed.
The specific processing process of the real-time vehicle parameter information is as follows: extracting acquired roof image information and vehicle front image information, processing the roof image information to acquire the width M1 and the length M2 of the vehicle in the roof image information, processing the vehicle front image information to acquire the width M3 and the height M4 of the vehicle in the vehicle front image information, and acquiring real-time vehicle parameters through a formula (M1 x M2)/(M3 x M4) =Mm;
the vehicle parameter comparison process is as follows: extracting the acquired real-time vehicle parameter information, marking the acquired real-time vehicle parameter information as Q1, extracting preset vehicle parameter information corresponding to license plate information in a database, marking the preset vehicle parameter information as Q2, calculating a parameter difference Qq through formulas Q1-Q2 = Qq, and when the absolute value of the parameter difference Qq is larger than a preset value, namely comparison is not passed, and when the absolute value of the parameter difference Qq is smaller than the preset value, namely comparison is passed;
through the process, real-time vehicle parameters can be calculated more accurately, so that the accuracy of vehicle identification is ensured.
The specific processing process of the road warning information is as follows: extracting the acquired second image information, setting a preset mark on a safety monitoring area of equipment on a road of the second image equipment, processing the second image information to acquire preset mark area information, marking the preset mark area information as K1, then extracting standard preset mark area information as K2, calculating a difference value between the standard preset mark area information K2 and the preset mark area information K1, acquiring an area difference Kk, and generating road warning information when the area difference is smaller than a preset value;
through the process, whether the road in the district is blocked or not can be timely known, when the road is found to be blocked, warning information is timely sent out, the road safety in the district is ensured, and accidents caused by road blocking are reduced.
The concrete processing process of the building warning information is as follows: when face image information appears in the third image information, processing the face image information to obtain real-time face characteristic parameter information, comparing the real-time face characteristic parameter information with preset parameter information of households in the building, recording time length information of the real-time face parameter information appearing in the third image information when the comparison fails, and generating building warning information when the time length information is longer than a preset value time length;
through the process, personnel entering the building are monitored, and when abnormality is found, warning information is timely sent out.
The specific processing process of the real-time face characteristic parameter information is as follows: extracting the acquired face image information, marking two outer corners in the face image information as a point A1 and a point A2 respectively, marking two inner corners as a point A3 and a point A4 respectively, wherein the point A1 and the point A3 are on the same side, the point A2 and the point A4 are on the same side, connecting the point A1 and the point A4 to obtain a line segment L1, connecting the point A2 and the point A3 to obtain a line segment L2, measuring the lengths of the line segment L1 and the line segment L2, and calculating the sum of the lengths of the line segment L1 and the line segment L2 to obtain real-time human characteristic parameters;
through the process, accurate face characteristic parameters can be obtained, so that the verification accuracy is ensured.
The monitoring equipment management and control information comprises monitoring increasing information and monitoring decreasing information, and the specific processing process of the monitoring equipment management and control information is as follows: extracting the acquired monitoring equipment information and protection area information, acquiring the monitoring equipment quantity information and the coverage area information of each monitoring equipment from the monitoring equipment information, marking the monitoring equipment quantity information as d, marking the coverage area information of each monitoring equipment as Y, acquiring a monitoring total coverage area Yy through a formula of Y1+Y2+Y … … Yd=yy, calculating a difference value between the monitoring total coverage area Yy and the protection area information, acquiring an area difference, generating monitoring reduction information when the area difference is larger than a preset value, and generating monitoring increase information when the area difference is smaller than the preset value;
through the process, whether the coverage area of the monitoring equipment in the cell is enough or not can be intuitively known, and the increase and decrease control information of the monitoring equipment can be timely generated so as to ensure the safety of the cell.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (8)
1. The intelligent monitoring system based on video acquisition is characterized by comprising an environment information acquisition module, an image equipment acquisition module, a monitoring information acquisition module, a data receiving module, a data processing module, a master control module and an information sending module;
the environment acquisition module is used for acquiring environment information of a monitoring position, the image acquisition module comprises first acquisition equipment, second acquisition equipment and third acquisition equipment, the first acquisition equipment is arranged at an entrance of a district garage and is used for acquiring first image information, the second acquisition equipment is arranged around a road in the district and is used for acquiring second image information, and the third acquisition equipment is arranged in an elevator of a building of the district and is used for acquiring third image information;
the image equipment acquisition module is used for acquiring monitoring equipment information, wherein the monitoring equipment information comprises monitoring equipment quantity information and coverage area information of each monitoring equipment;
the monitoring information acquisition module is used for acquiring the protection area information of the monitoring position;
the data receiving module is used for receiving the environment information, the first image information, the second image information, the third image information, the monitoring equipment information and the protection area information of the monitoring position, recording the information by the data receiving module and then sending the information to the data processing module;
the data processing module is used for processing the environmental information of the monitoring position to generate security mode determining information, processing the first image to generate vehicle warning information, processing the second image information to generate road warning information, processing the third image information to generate building warning information, and generating monitoring equipment management and control information for the monitoring equipment information and the protection area information;
after the security mode determining information, the vehicle warning information, the road warning information, the building warning information and the monitoring equipment management and control information are generated, the master control module controls the information sending module to send the security mode determining information, the vehicle warning information, the road warning information, the building warning information and the monitoring equipment management and control information to the preset receiving terminal.
2. The intelligent monitoring system based on video acquisition of claim 1, wherein: the security mode determining information comprises an energy-saving monitoring mode and a normal monitoring mode;
the specific processing procedure of the security mode determination information is as follows: the method comprises the steps of extracting the collected environment information of the monitoring position, wherein the environment information of the monitoring position comprises environment temperature information and weather information, when the environment temperature information is smaller than a preset value, and the weather information is rainfall or snowfall, the energy-saving monitoring mode is generated when the rainfall or the snowfall is larger than the preset value, and when the environment temperature is larger than the preset value, the energy-saving monitoring mode is also generated, and the normal monitoring mode is operated except the above states.
3. The intelligent monitoring system based on video acquisition of claim 1, wherein: the specific processing process of the vehicle warning information is as follows:
step one: extracting collected first image information, wherein the first image information comprises license plate image information, roof image information and image information in front of a vehicle of the vehicle entering a preset position;
step two: processing license plate image information of a vehicle to identify the license plate information, importing the license plate information into a database for comparison, and processing roof image information and image information right in front of the vehicle to obtain real-time vehicle parameter information after the license plate is compared;
step three: and the real-time vehicle parameter information is imported into a database to be compared with preset vehicle parameters corresponding to license plate information in the database, the comparison is carried out through a control barrier gate, and the vehicle warning information is generated after the comparison fails.
4. A video acquisition-based intelligent monitoring system according to claim 3, characterized in that: the specific processing process of the real-time vehicle parameter information is as follows: extracting acquired roof image information and vehicle front image information, processing the roof image information to acquire the width M1 and the length M2 of the vehicle in the roof image information, processing the vehicle front image information to acquire the width M3 and the height M4 of the vehicle in the vehicle front image information, and acquiring real-time vehicle parameters through a formula (M1 x M2)/(M3 x M4) =Mm;
the vehicle parameter comparison process is as follows: the method comprises the steps of extracting collected real-time vehicle parameter information, marking the collected real-time vehicle parameter information as Q1, extracting preset vehicle parameter information corresponding to license plate information in a database, marking the preset vehicle parameter information as Q2, calculating a parameter difference Qq through formulas Q1-Q2 = Qq, and when the absolute value of the parameter difference Qq is larger than a preset value, namely comparison is not passed, and when the absolute value of the parameter difference Qq is smaller than the preset value, namely comparison is passed.
5. The intelligent monitoring system based on video acquisition of claim 1, wherein: the specific processing process of the road warning information is as follows: the method comprises the steps of extracting collected second image information, setting a preset mark in a safety monitoring area of equipment on a road of second image equipment, processing the second image information, obtaining preset mark area information, marking the preset mark area information as K1, extracting standard preset mark area information, marking the standard preset mark area information as K2, calculating a difference value between the standard preset mark area information K2 and the preset mark area information K1, obtaining area difference Kk, and generating road warning information when the area difference is smaller than a preset value.
6. The intelligent monitoring system based on video acquisition of claim 1, wherein: the concrete processing process of the building warning information is as follows: when face image information appears in the third image information, processing the face image information to obtain real-time face characteristic parameter information, comparing the real-time face characteristic parameter information with preset parameter information of households in the building, recording time length information of the real-time face parameter information appearing in the third image information when comparison fails, and generating building warning information when the time length information is longer than a preset value time length.
7. The intelligent monitoring system based on video acquisition of claim 6, wherein: the specific processing process of the real-time face characteristic parameter information is as follows: the method comprises the steps of extracting collected face image information, marking two outer corners in the face image information as a point A1 and a point A2 respectively, marking two inner corners as a point A3 and a point A4 respectively, wherein the point A1 and the point A3 are on the same side, the point A2 and the point A4 are on the same side, connecting the point A1 with the point A4 to obtain a line segment L1, connecting the point A2 with the point A3 to obtain a line segment L2, measuring the lengths of the line segment L1 and the line segment L2, and calculating the sum of the lengths of the line segment L1 and the line segment L2 to obtain real-time human characteristic parameters.
8. The intelligent monitoring system based on video acquisition of claim 1, wherein: the monitoring equipment management and control information comprises monitoring increasing information and monitoring decreasing information, and the specific processing process of the monitoring equipment management and control information is as follows: the method comprises the steps of extracting collected monitoring equipment information and protection area information, obtaining monitoring equipment quantity information and coverage area information of each monitoring equipment from the monitoring equipment information, marking the monitoring equipment quantity information as d, marking the coverage area information of each monitoring equipment as Y, obtaining a monitoring total coverage area Yy through a formula of Y1+Y2+Y … … Yd=yy, calculating a difference value between the monitoring total coverage area Yy and the protection area information, obtaining an area difference, generating monitoring reduction information when the area difference is larger than a preset value, and generating monitoring increase information when the area difference is smaller than the preset value.
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| CN117372197A (en) * | 2023-12-08 | 2024-01-09 | 深圳市磐锋精密技术有限公司 | Automatic assembly whole line safety monitoring system based on big data |
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| CN117372197A (en) * | 2023-12-08 | 2024-01-09 | 深圳市磐锋精密技术有限公司 | Automatic assembly whole line safety monitoring system based on big data |
| CN117372197B (en) * | 2023-12-08 | 2024-03-22 | 深圳市磐锋精密技术有限公司 | Automatic assembly whole line safety monitoring system based on big data |
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